A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage

Erdmann, Anselm; Marcellan, Anna; Stock, Jan; Neuroth, David; Utama, Christian; Suriyah, Michael; Steinle, Sina; Muller, Felicitas; Hering, Dominik; Francke, Henning; Gritzbach, Sascha; Henke, Martin; Pflugradt, Noah; Çakmak, Hüseyin; Kotzur, Leander; Stolten, Detlef; Müller, Dirk; Schlatmann, Rutger; Xhonneux, André; Hagenmeyer, Veit; Ulbrich, Carolin

doi:10.1016/j.enconman.2023.117226

Energy Conversion and Management

2023

DOI: 10.1016/j.enconman.2023.117226

|View full text |Cite

A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage

Anselm Erdmann

Anna Marcellan

Jan Stock

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 7 publications

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage

Cited by 7 publications

References 51 publications

District multi-energy systems: A comprehensive review of configurations, technologies, and performances

District multi-energy systems: A comprehensive review of configurations, technologies, and performances

Feasibility assessment of next-generation smart district heating networks by intelligent energy management strategies

Ensuring data privacy in AC Optimal Power Flow with a distributed co-simulation framework

Contact Info

Product

Resources

About